Building intelligent information retrieval system based on ontology

被引：0
|
作者：
Ying, Pan [1 ,2 ]
Wang Tianjiang [2 ]
Jiang Xueling [1 ]
机构：
[1] Guangxi Teachers Coll, Dept Math & Comp Sci, Nanning 530001, Guangxi, Peoples R China
[2] Huazhong Univ Sci & Technol, Coll Comp Sci & Tech, Wuhan 430074, Peoples R China
来源：
ICEMI 2007: PROCEEDINGS OF 2007 8TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL IV | 2007年
关键词：
ontology; semantic; intelligent retrieval; knowledge base;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The traditional retrieval system based on classification and keyword is difficult to satisfy the high quality retrieval requirement. A prototype of an intelligent retrieval system is provided, and the running process, reason and query of the system are discussed. Ontologies are introduced to describe the semantic information of knowledge bases in order to meet requirement of utmost sharing and reuse of the domain knowledge, then designs several retrieval requirements, and carries out the retrieval instances. The experimental results show the system support semantic retrieval, it can retrieval the results match the retrieval terms on semantic, and improve the retrieval quality.
引用
收藏
页码：612 / +
页数：2
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